SUJAN SHIROL
Data Scientist at Rolls-Royce
Research Mentor
With a strong background in Data Science and Machine Learning, my work currently focuses on cutting-edge Generative AI (GenAI) development. My role at Rolls-Royce involves fine-tuning Large Language Models (LLMs), integrating Retrieval-Augmented Generation (RAG), and leveraging Vector Databases. I design and develop ML models to address real-world business challenges, conduct critical hypothesis testing, and deliver data insights to stakeholders.
As a Research Mentor at Shunya, I volunteer to guide PES University engineering students on Data Science and Machine Learning projects fostering the next generation of data science talent
WORK EXPERIENCE
DATA SCIENCE,
ROLLS-ROYCE
August 2022 - Present
➤ GenAI development - fine-tuning Large Language Models (LLMs), developing Retrieval-Augmented Generation (RAG), Vector Database integration and LLM deployment.
➤ Designing and developing NLP models to solve real-world business problems.
➤ Constant research and implementation on cutting-edge Generative AI (GenAI) techniques.
➤ Conducting critical hypothesis testing and experiments
➤ Delivering data insights and conclusions directly to stakeholders
Models: Mistral-7B, LlamaIndex, Embedding Models, Transformers, Tensorflow and PyTorch frameworks
Skills: Data Science, Machine Learning, NLP, Generative AI, Hypothesis Testing, Research
Research Mentor,
Shunya - PES University
Sept 2023 - Present
➤ Volunteer mentorship for Data Science and Machine Learning projects of PES University engineering students
Skills: Teaching, Mentoring, Communication
DATA SCIENCE INTERN, FLEEK
May 2022 - July 2022
➤ End-to-end experimenting and developement of SMS and E-mail Parser: Requirement gathering, codebase of GitHub, DVC, NumPy style documentation, Sphinx documentation.
➤ In-depth research and documentation on MLOps tools & techniques to monitor models in production.
Models: SentencePiece, Casual Language Modeling, Named Entity Recognition, Cosine Similarity Clustering
Skills: Python, PyTorch, Machine Learning, NLP, MLOps, DVC, Sphinx, Git
DATA SCIENCE INTERN,
MSYS TECHNOLOGIES
November 2021 - April 2022
➤ Single-handedly built a Recommendation System for Vending Machines on 2+ million live sale data.
➤ This project aims to help the vending machine operator to gain optimal sales by addressing three central questions: what product to stock when to stock up, and what location to stock.
➤ Combining time-series forecasting, machine learning, and data mining techniques.
➤ I created an ensemble forecasting algorithm for time series.
Models: Exponential Smoothing, ARIMA, Apriori, Association Rule
Skills: MLOps, DVC, Sphinx, NLP, Git, Machine Learning, Python
Technical Writer
June 2021 - June 2022
➤ Produce high-quality, highly technical articles and other technical work in the field of machine learning & artificial intelligence.
➤ Interned for Towards AI, a well established digital article publication company, wherein my work involved writing, coding, and developing state-of-the-art Data Science and Machine Learning tutorials like :
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K-Nearest Neighbors (KNN) Algorithm Tutorial — Machine Learning Basics
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Support Vector Machine (SVM) Introduction — Machine Learning
Skills: Data Science, Editing, Technical Writing, Machine Learning
PROJECT ENGINEER, WIPRO LIMITED
June 2019 - October 2020
➤ Intelligent Factory Assessment and Recommendation Tool. The tool takes an analytical approach and provides the Intelligent Factory Index, which in turn comprises Connected, Contextual, Optimized, and Self Aware Indices.
➤ Coordinated with hardware and system engineering leads to gather and develop system requirements.
➤ Designed, implemented, and monitored web pages and sites for continuous improvement.
Skills: Python scripting, Statistics, analytics, Flask framework.
EDUCATION
July 2020 - August 2022
MASTERS OF TECHNOLOGY IN DATA SCIENCE AND MACHINE LEARNING,
PES UNIVERSITY
Graduated
Achievements: Thesis work in partnership with MSys Technologies on an experimental project.
SGPA: 9.36
August 2015 - July 2019
BACHELOR OF ENGINEERING IN COMPUTER SCIENCE,
RNS INSTITUTE OF TECHNOLOGY
Visvesvaraya Technological University
CGPA: 7.1
No backlog history.
January 2013 - March 2015
SENIOR SECONDARY EDUCATION IN SCIENCE,
VISION PU COLLEGE
Karnataka State Board
Physics, Chemistry, Mathematics, and Biology
Score: 74%
June 2011 - March 2012
SCHOOLING,
BASAVESHWAR INTERNATIONAL PUBLIC SCHOOL
Central Board of Secondary Education
CGPA: 8.6
Python
Two years of industry experience. I'm friends with Python for 5+ years.
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Data Analytics
Visualizing data with Tableau. Business insights with Pandas, Seaborn, Plotly.
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Natural Language Processing
Proficiency in TensorFlow and PyTorch, Gensem, NLTK. Projects on Text analysis, text classification, text generation
Generative AI
Generative AI, GPT, RAG, Fine-tuning LLM, Deployment using vLLM
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Machine Learning
Worked on various projects involving different ML algorithms including regression, classification, recommendation.
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Deep Learning
Proficiency in TensorFlow and PyTorch. Projects on CNN, GAN, Object Detection/Localization
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Statistics
Built projects to make statistical business decisions. Published simple tutorial to make Hypothesis testing easier.
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SQL
Hands-on MySQL Workbench. Projects demonstrating complex queries and window functions.
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Web Development
Industry experience in working with Flask, HTML, CSS, Jquery, JSON, and AJAX.
WHAT I CAN OFFER YOU
FEATURED BLOGS
This tutorial will be diving into genetic algorithms in detail and explaining their implementation in Python. We will also explore the different methods involved in each step diagrammatically. As always, we are including code for reproducibility purposes. We have split the code when required while exploring the different steps involved during our implementation.